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Confused by the jargon? Our comprehensive dictionary of artificial intelligence terms helps you speak the language of the future.
A set of rules or instructions given to an AI, neural network, or other machine to help it learn on its own.
A theoretical form of AI where a machine would have an intelligence equal to humans; it would have a self-aware consciousness.
A computer program designed to simulate conversation with human users. Examples include ChatGPT and Claude.
A type of generative model used in image generation (like Stable Diffusion) that learns to create data by reversing a gradual noise addition process.
A category of AI algorithms that generate new output based on the data they have been trained on.
A phenomenon where an AI model generates incorrect or nonsensical information but presents it as fact.
A deep learning algorithm that can recognize, summarize, translate, predict, and generate content. Examples include GPT-4 and Llama.
A computer system modeled on the human brain and nervous system, designed to recognize patterns.
The practice of designing inputs for AI models to produce optimal outputs.
The basic unit of text used by an LLM. A token can be a word, part of a word, or a character.
A type of deep learning model architecture introduced in 2017 that is the foundation for most modern LLMs (like the 'T' in GPT).
The ability of a model to complete a task without having received any specific training examples for that task.
